Hyperfine, Inc (HYPR) Fair Value & Analysis
Healthcare · US · Market cap $159M
Fair value as of: Jun 24, 2026
Analysis
Hyperfine, Inc (HYPR) currently trades at $1.47, while our model-based Fair Value estimate is $2.19 — implying the stock looks roughly 49.0% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Hyperfine, Inc., a health technology company, engages in the production, supply, service, and commercialization of magnetic resonance imaging (MRI) products. Its Swoop Portable MR Imaging System produces images at a lower magnetic field strength than conventional MRI scanners. The company also offers support and technical assistance services, as well as Hyperfine Image Viewer, a cloud picture archiving and communication system. It serves intensive care units, neurology offices, emergency departments, and comprehensive and primary stroke accredited facilities through direct sales and distributors in the United States, Canada, the United Kingdom, other European and Middle Eastern markets, Australia, and New Zealand. The company was founded in 2014 and is based in Guilford, Connecticut.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Hyperfine, Inc (HYPR) undervalued?
What is the fair value of HYPR?
What is the quality score of HYPR?
How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.